code: def test_fabric_module_setattr():
      """Test that setattr sets attributes on the original module."""
  
      class OriginalModule(torch.nn.Module):
          def __init__(self):
              super().__init__()
              self.layer = torch.nn.Linear(2, 3)
              self.attribute = 1
              self._x = None
  
          @property
          def x(self):
              return self._x
  
          @x.setter
          def x(self, value):
              self._x = value
  
      original_module = OriginalModule()
  
      class ModuleWrapper(torch.nn.Module):
          def __init__(self):
              super().__init__()
              self.wrapped = original_module
  
      wrapped_module = ModuleWrapper()
      fabric_module = _FabricModule(
          wrapped_module, Mock(), original_module=original_module
      )
  
      # Check new attribute is set on original_module
      fabric_module.new_attribute = 100
      assert original_module.new_attribute == 100
  
      # Modify existing attribute on original_module
      fabric_module.attribute = 101
      assert original_module.attribute == 101
  
      # Check setattr of original_module
      fabric_module.x = 102
      assert original_module.x == 102
  
      # Check set submodule
      assert not hasattr(original_module, "linear")
      linear = torch.nn.Linear(2, 2)
      fabric_module.linear = linear
      assert hasattr(original_module, "linear")
      assert isinstance(original_module.linear, torch.nn.Module)
      assert linear in fabric_module.modules()
      assert linear in original_module.modules()
  
imports: from unittest import mock
  from unittest.mock import Mock, call
  import pytest
  import torch
  from lightning.fabric.fabric import Fabric
  from lightning.fabric.plugins import Precision
  from lightning.fabric.utilities.device_dtype_mixin import _DeviceDtypeModuleMixin
  from lightning.fabric.utilities.imports import _TORCH_GREATER_EQUAL_2_1
  from lightning.fabric.wrappers import _FabricDataLoader, _FabricModule, _FabricOptimizer, _unwrap_objects, is_wrapped
  from torch.utils.data import BatchSampler, DistributedSampler
  from torch.utils.data.dataloader import DataLoader
  from tests_fabric.helpers.runif import RunIf
label_desc: Use image node_id 4 for calling a global function with example usage: test_fabric_module_setattr() and returns: self